GC Enterprise Architecture/Standards/Information Architecture

Home

EA standards

EARB Endorsements

EA Artifacts

Working Groups

GC EARB

Other References

This is a definition for GC Information Enterprise Architecture

Data Collection

• Ensure data is collected in a manner that maximizes use and availability of data
• Ensure data collected aligns to existing enterprise and international standards
• Where enterprise or international standards don't exist, develop Standards in the open with key subject matter experts
• Ensure collection of data yields high quality data as per data quality guidelines
• Ensure data is collected through ethical practices supporting appropriate citizen and business-centric use
• Data should only be purchased once and should align with international standards
• Where necessary, ensure collaboration with department/agency data stewards/custodians, other levels of government and indigenous people

Data Management

• Demonstrate alignment with enterprise and departmental data governance and strategies
• Ensure accountability for data roles and responsibilities
• Design to maximize data use and availability
• Design data resiliency in accordance with GC policies and standards
• Use Master Data Management to provide a single point of reference for appropriate stakeholders

Data Storage

• Ensure data is stored in a secure manner in accordance with the National Cyber Security Strategy and the Privacy Act
• Follow existing retention and disposition schedules
• Ensure data is stored in a way to facilitate easy data discoverability, accessibility and interoperability

Data Sharing

• Data should be shared openly by default as per the Directive on Open Government
• Ensure government-held data can be combined with data from other sources enabling interoperability and interpretability through for internal and external use
• Reduce the collection of redundant data
• Reduce existing data where possible
• Encourage data sharing and collaboration